Electrocardiography (ECG or EKG) is the process of recording the electrical activity of the heart over a period of time using electrodes placed on the skin. The main idea is how to detect activity of the heart from skin that appears in video without using electrodes. This paper, proposes an algorithm that works on analyzing video frames to detect heartbeats from tiny changes that happen in a skin color luminance (brightness) and then using them to amplifying heartbeat and drawing ECG. The results show that the heartbeat was detected and amplified and ECG was drawing from any part of the human body in different situations and from different video.

The study of biomechanical indicators in the arc of the run and the upgrading stage is one of the important variables that affect the nature of the upgrading and thus affect the result of the race due to the importance of these stages and the consequent variables during the last steps. That’s why, the jump-trainings based on assistant means or body weight positively affect the step-time for each of the three steps in the acceleration arc. As well as, it focuses on the momentary strength of each step at this stage. It also significantly affects the speed of motor performance to suit the activity in which the runner needs to perform perfect steps with high flow in order to convert the horizontal speed to a vertical one. This is achieved thr

Background: previously type 1 diabetes mellitus (T1DM) was listed among the causes of severing growth retardation. Iraq was exposed to wars and conflicts that affect health services which in turn affect the glycemic state of diabetic patients.
Objective: To report on the growth of diabetic children in post-conflict Iraq.
Methods: A total of 100 children with T1DM were included in the study. They were attending the consultancy clinic in Children Welfare Teaching Hospital for the period from 1st of Feb to 30th of May 2017. Weight and height were measured. The growth indices at diagnosis were taken from a case file.
Results: A total of 100 children with T1DM included in this study. Their age was 9.3 ± 3.2 years with a male to fema

Diabetic retinopathy is an eye disease in diabetic patients due to damage to the small blood vessels in the retina due to high and low blood sugar levels. Accurate detection and classification of Diabetic Retinopathy is an important task in computer-aided diagnosis, especially when planning for diabetic retinopathy surgery. Therefore, this study aims to design an automated model based on deep learning, which helps ophthalmologists detect and classify diabetic retinopathy severity through fundus images. In this work, a deep convolutional neural network (CNN) with transfer learning and fine tunes has been proposed by using pre-trained networks known as Residual Network-50 (ResNet-50). The overall framework of the proposed

The use of medicinal plants in the treatment of harmful impacts of xenobiotics in animals is attracting an increasing attention in recent times. The aim of the current study is to assess the preventive potential of Costus afer aqueous leaves extract (CAAE) in treating metabolic aberrations imposed by crude oil contaminated diet in
Wistar albino rats. Six groups of rats were treated as follows: A = Normal diet; B=Normal diet + 100 mg/kg body weight of CAAE; C =Normal diet + 200 mg/kg body weight of CAAE; D= Crude oil contaminated diet; E= crude oil contaminated diet + 100 mg/kg body weight of CAAE, F = crude oil contaminated diet + 200 mg/kg body weight of CAAE. After thirty days of exposure to the diet and administration of the corres

A study that collected 240 samples and divided into two groups: the first 120 samples were for diabetics and the second 120 samples were for healthy people, and each group included (90, 20.10) samples from the mouth, urine and vagina respectively, The results showed positive (28.67, 4.00, 1.67) isolates of Candida. In the mouth, urine and vagina, respectively, of diabetic patients compared to (9.33, 2.33, 5.00) positive isolates in the mouth, urine and vagina, respectively, in the healthy. The rate of positive isolates in women was high in women with diabetes and healthy, and it reached 25.33 and 9.00 isolates, respectively, compared with the rate of isolates in men with Candida disease for diabetic patients and healthy people 14.67 and 2.0

Background: Several biological factors such as bacterial infections and immunological status are implicated in predisposing individuals to bladder cancer. Bacterial infection of urinary tract has been related to increase the risk of bladder cancer.
Patients and Methods: Resected tumors of a total of 73 patients were obtained under sterile surgical conditions. Biopsy processing samples and culture procedures of biopsy samples were mentioned in the text.
Results: Bacterial growth was observed in 48 biopsy tissues of those patients represent (65.8%) while, 25(34.2%) yielded no growth (negative results). It is obvious that E. coli is the most predominant organisms followed by K. pneumoniae and Ps. Aer

Otitis media with effusion (OME) is a common disease especially among young children (before school age) and it is one of the common causes of acquired hearing loss in childhood. Pediatric patients with OME are usually undernourished. The purpose of this study is to determine whether the serum levels of trace elements (zinc, copper, magnesium, iron) have a role in the development of OME in children. This study carried out on 55 children and subdivided them into two groups. Group 1 (patient group) consist of 30 children suffering from OME and group 2 (control group) included 25 apparently healthy children. Serum levels of zinc, copper, magnesium and iron were measured for both groups. Comparison the results between the two groups showed t